PCA Index Dashboard Examples

PCA Index Dashboard Examples#

This script was last run at 2024-04-30 10:20:36.612736+00:00 (UTC)
In US/Central Time, this is 2024-04-30 05:20:36.612736-05:00
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np

# Generating a random time series data
dates = pd.date_range(start="2021-01-01", end="2021-12-31", freq='D')
data = np.random.randn(len(dates)).cumsum()

# Creating the plot
plt.figure(figsize=(10, 6))
plt.plot(dates, data, label='Random Time Series', color='blue')
plt.title('Random Time Series Plot')
plt.xlabel('Date')
plt.ylabel('Value')
plt.legend()
plt.grid(True)
plt.xticks(rotation=45)
plt.tight_layout()

# Display the plot
plt.show()
print('We are just generating a random time serie here.')
../../_images/20f4296721650b77699c4bf625483455300acf73e041b22b9006663ab4360542.png
We are just generating a random time serie here.
../../_images/672ee2760262bb934b95554472de52a352bd6f669ddebaf8b2a18cc7e6e91760.png
../../_images/d2088bd603efce1bb451bfb82917de38d6c8f77a7522488f647d6ed236e51767.png